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Articles 19021 - 19050 of 713679

Full-Text Articles in Entire DC Network

The Effects Of Green Orientation And Technological Agility On Sustainable Competitive Advantage Under Environmental Uncertainty: Organizational Agility As A Pathway, Sahilali Saiyed, Vimal Kumar, Abdul Waaje, Adi Prasetyo Tedjakusuma Dec 2025

The Effects Of Green Orientation And Technological Agility On Sustainable Competitive Advantage Under Environmental Uncertainty: Organizational Agility As A Pathway, Sahilali Saiyed, Vimal Kumar, Abdul Waaje, Adi Prasetyo Tedjakusuma

Michigan Tech Publications

Despite the strengthened efforts on sustainability and technological activities by firms, the existing literature lacks a clear picture regarding how green orientation (GO) and technological agility (TAG) can be transformed into sustainable competitive advantage (SCA) and at what time the conversion process may be most efficient. This paper conceptualizes organizational agility (OGA) based on the resource-based view (RBV) and dynamic capabilities theory (DCT) and hypothesizes that GO and TAG indirectly affect SCA with the mediating impact of environmental uncertainty (ELU). A moderated-mediation model was tested based on a sample of 200 managers (HR, marketing, accounting/finance, quality control, R&D) of auto-parts …

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Accepting Film: A Study On Tradition, Values Change And Continuity In Tebuireng Pesantren, Jombang, Nurman Hakim Dec 2025

Accepting Film: A Study On Tradition, Values Change And Continuity In Tebuireng Pesantren, Jombang, Nurman Hakim

Antropologi Indonesia

The pesantren tradition contains values that become a guide for life and become a source for the actions of santri and kiai. The values in the pesantren tradition in the form of akhlak (morals), ibadah (worship) and barokah (blessings) become an anchor for kiai and santri in responding to films that are considered products of modernity emerging from the west. In the past the act of watching and making films was rejected and considered contrary to the pesantren tradition, but slowly now films are used by pesantren to preserve the tradition itself. This article explores how values in the …

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Soil Organic Carbon Depth Profiles And Centennial And Millennial Decay Rates In Tidal Marsh, Mangrove And Seagrass Blue Carbon Ecosystems, Nerea Piñeiro-Juncal, Miguel Ángel Mateo, Carmen Leiva-Dueñas, Eduard Serrano, Karina Inostroza, Montserrat Soler, Eugenia T. Apostolaki, Paul Lavery, Carlos M. Duarte, Anna Lafratta, Oscar Serrano Dec 2025

Soil Organic Carbon Depth Profiles And Centennial And Millennial Decay Rates In Tidal Marsh, Mangrove And Seagrass Blue Carbon Ecosystems, Nerea Piñeiro-Juncal, Miguel Ángel Mateo, Carmen Leiva-Dueñas, Eduard Serrano, Karina Inostroza, Montserrat Soler, Eugenia T. Apostolaki, Paul Lavery, Carlos M. Duarte, Anna Lafratta, Oscar Serrano

Research outputs 2022 to 2026

The management of coastal blue carbon ecosystems can contribute to mitigate anthropogenic greenhouse gas emissions. However, limited information on soil organic carbon (OC) decay rates in tidal marsh, mangrove, and seagrass soils hinders their inclusion in climate strategies and carbon-crediting schemes. Here, we analyzed downcore OC trends in 3761 soil cores from blue carbon ecosystems worldwide. A decrease in OC content with soil depth was measured in 63% of the cores, whereas stable and increasing trends were observed in 22% and 15% of the cores, respectively. Based on 85 profiles where OC decay could be modelled, the OC decay rate …

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Impacts Of Dredging And Restoration On Sedimentary Carbon Stocks In Seagrass Meadows Of Pari Island, Indonesia, Yusmiana P. Rahayu, Gary A. Kendrick, Pere Masqué, Wawan Kiswara, Hadiwijaya L. Salim, Ali A. Lubis, Mathew A. Vanderklift Dec 2025

Impacts Of Dredging And Restoration On Sedimentary Carbon Stocks In Seagrass Meadows Of Pari Island, Indonesia, Yusmiana P. Rahayu, Gary A. Kendrick, Pere Masqué, Wawan Kiswara, Hadiwijaya L. Salim, Ali A. Lubis, Mathew A. Vanderklift

Research outputs 2022 to 2026

The effects of dredging and restoration on carbon sequestration in seagrass sediments is not well understood. Our knowledge is derived from few studies conducted in areas affected by dredging or restoration, the majority of which are from temperate regions. There is limited information available for tropical regions, where seagrass sediments can differ greatly in species composition, geomorphology, and hydrodynamic conditions. This study aims to assess the effects of dredging and seagrass restoration on sediment organic carbon concentrations and stocks at Pari Island, Indonesia. The results indicated that sediment organic carbon concentrations (%Corg) were higher in persistent seagrass meadows than in …

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Echoes Of The Modern Training Periodization Concepts In Russia Before The October 1917 Revolution, Sandro Bartolomei, Gulnara Mammadova, Renato Manno, Gregory G. Haff, Jay R. Hoffman, Franco Merni Dec 2025

Echoes Of The Modern Training Periodization Concepts In Russia Before The October 1917 Revolution, Sandro Bartolomei, Gulnara Mammadova, Renato Manno, Gregory G. Haff, Jay R. Hoffman, Franco Merni

Research outputs 2022 to 2026

Abstract – Bartolomei, S, Mammadova, G, Manno, R, Haff, GG, Hoffman, JR, and Merni, F. Echoes of the modern training periodization concepts in Russia before the October 1917 revolution. J Strength Cond Res 39(12): 1327–1330, 2025—The debate on the origins of the discipline of training periodization is still ongoing. The text “Olympic Sport, ” published by B. A. Kotov in 1916, was one of the first known books to focus on training methods and strategies for performance development. The book is also considered the first to deal with training organization and periodization. In addition, Kotov was the only author to …

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Optimization Of Size And Siting Of Distributed Generation In Unbalanced Distribution Systems: A Literature Review, Pema Dorji, Stefan Lachowicz, Octavian Bass Dec 2025

Optimization Of Size And Siting Of Distributed Generation In Unbalanced Distribution Systems: A Literature Review, Pema Dorji, Stefan Lachowicz, Octavian Bass

Research outputs 2022 to 2026

Renewable energy sources (RES) are essential for meeting the rising global electricity demand while reducing greenhouse gas emissions from conventional generation. As traditional systems approach capacity saturation, the integration of RES into power grids becomes increasingly vital. However, the intermittent and variable nature of RES introduces significant technical, economic, and operational challenges. This review focuses on the optimal planning and integration of distributed generation in unbalanced distribution systems, which more accurately reflect real-world power network conditions. Emphasis is placed on siting and sizing strategies aimed at enhancing voltage stability, minimizing power losses, and reducing system costs and emissions. The review …

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Sediment Burial Negatively Impacts The Growth Of Seagrass Posidonia Sinuosa, Chanelle Webster, Nicole Said, Natasha Dunham, Simone Strydom, Kathryn Mcmahon Dec 2025

Sediment Burial Negatively Impacts The Growth Of Seagrass Posidonia Sinuosa, Chanelle Webster, Nicole Said, Natasha Dunham, Simone Strydom, Kathryn Mcmahon

Research outputs 2022 to 2026

Burial disturbances affect foundation plant species in marine ecosystems. Deposition of dredge spoil can bury seagrass meadows yet we have limited threshold information to predict the trajectory of impact from burial or possible recovery. To investigate the response to burial by dredge spoil, established seagrass ramets of Posidonia sinuosa were collected from a population in Western Australia and exposed to cutter suction dredge spoil sediment. Plant responses were measured during a burial phase after 2, 4 and 8 weeks to assess the influence of duration to burial depths (0, 1, 4, 8 and 16 cm). Sediments were then removed, and …

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Cnn Based Deep Learning Modeling With Explainability Analysis For Detecting Fraudulent Blockchain Transactions, Mohammad Hasan, Mohammad Shahriar Rahman, Mohammad Jabed Morshed Chowdhury, Iqbal H. Sarker Dec 2025

Cnn Based Deep Learning Modeling With Explainability Analysis For Detecting Fraudulent Blockchain Transactions, Mohammad Hasan, Mohammad Shahriar Rahman, Mohammad Jabed Morshed Chowdhury, Iqbal H. Sarker

Research outputs 2022 to 2026

In the era of growing cryptocurrency adoption, Blockchain has emerged as a leading player in the digital payment landscape. However, this widespread popularity also brings forth various security challenges, including the need to safeguard against fraudulent activities. One of the paramount challenges in this regard is the detection of fraudulent transactions within the realm of Bitcoin data. This task significantly influences the trust and security of digital payments. Yet, it's a formidable challenge given the relatively low occurrence of fraudulent Bitcoin transactions. While deep learning techniques have demonstrated their prowess in fraud detection, there remains a scarcity of studies exploring …

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Machine Learning-Optimized Porous Thermally Responsive Ss-Pcm With Switchable Transparency For Adaptive Building Envelope Coatings, Zhiying Xiao, Rajae Bousselham, Mingjiang Tao, Sergio Granados-Focil, Oren Mangoubi, Steven Van Dessel Dec 2025

Machine Learning-Optimized Porous Thermally Responsive Ss-Pcm With Switchable Transparency For Adaptive Building Envelope Coatings, Zhiying Xiao, Rajae Bousselham, Mingjiang Tao, Sergio Granados-Focil, Oren Mangoubi, Steven Van Dessel

Chemistry

Buildings account for nearly 40% of total energy consumption, with a significant share of heating and cooling demand arising from building envelopes. Conventional passive envelopes—such as cool roofs, radiative cooling surfaces, glazing systems, and passive solar walls—cannot automatically adapt to environmental conditions by switching between heating and cooling modes. To address this limitation, we propose a passive, adaptive building envelope coating system that responds to ambient temperature changes without external energy input. The system integrates solid–solid phase change materials (SS-PCM), Polydimethylsiloxane (PDMS) and Silver (Ag), enabling switchable radiative cooling and solar heating effects. We investigated the influence of porous structures …

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Motivational Interviewing And Servant-Leadership: An Interview With Dr. William R. Miller, William Richard Miller, Jemima Neddy Organ Dec 2025

Motivational Interviewing And Servant-Leadership: An Interview With Dr. William R. Miller, William Richard Miller, Jemima Neddy Organ

International Journal of Servant-Leadership

Dr. Miller is a leader in addiction research and treatment and co-founder of Motivational Interviewing (MI), an evidence-based method for helping people change. In this interview, he discusses how he developed MI, highlighting his collaborative approach to servant-leadership. He advocates organizational values that create a collegial, collaborative environment and help meet human needs for autonomy, relatedness, and competence. He discusses power dynamics in leadership and the importance of a person-centered approach to leadership.

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Prevalence Of Sleep Disturbances And Factors Associated Among School Going Children In Uganda, A Cross-Sectional Study, Martha Sajatovic Dec 2025

Prevalence Of Sleep Disturbances And Factors Associated Among School Going Children In Uganda, A Cross-Sectional Study, Martha Sajatovic

Faculty Scholarship

Background: Sleep disturbances greatly impact children's academic performance and social well-being. This study set out to determine the prevalence of sleep disturbances and factors associated among school going children in Kawempe division, Kampala, Uganda. Methods: In a community cross-sectional study, 548 study participants using random cluster sampling were enrolled. The children start lessons at 8am and end the days classes at 5pm. Random cluster sampling method was used to select participants from the 19 parishes in Kawempe district. Data was collected using a semi-structured questionnaire and Sleep Disturbance Scale for Children (SDSC). Descriptive statistics and multivariate binary logistic regression were …

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Real Topological Hochschild Homology Via The Norm And Real Witt Vectors, Gabriel Angelini-Knoll Dec 2025

Real Topological Hochschild Homology Via The Norm And Real Witt Vectors, Gabriel Angelini-Knoll

Faculty Scholarship

We prove that Real topological Hochschild homology can be characterized as the norm from the cyclic group of order 2 to the orthogonal group O(2). From this perspective, we then prove a multiplicative double coset formula for the restriction of this norm to dihedral groups of order 2m. This informs our new definition of Real Hochschild homology of rings with anti-involution, which we show is the algebraic analogue of Real topological Hochschild homology. Using extra structure on Real Hochschild homology, we define a new theory of p-typical Witt vectors of rings with anti-involution. We end with an explicit computation of …

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Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – First Quarter 2024, Pioneer Technical Services, Inc. Dec 2025

Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – First Quarter 2024, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Re: Approval Letter For The Final Butte Priority Soils Operable Unit (Bpsou) Butte Treatment Lagoons (Btl) Groundwater Treatment System Quarterly Operation And Maintenance Report – Quarter 2 2024 (Dated August 19, 2025), Emma Rott Dec 2025

Re: Approval Letter For The Final Butte Priority Soils Operable Unit (Bpsou) Butte Treatment Lagoons (Btl) Groundwater Treatment System Quarterly Operation And Maintenance Report – Quarter 2 2024 (Dated August 19, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Re: Comment Letter For The Butte Priority Soils Operable Unit (Bpsou) Butte Treatment Lagoons (Btl) Groundwater Treatment System Quarterly Operation And Maintenance Report – Quarter 2 2025 (Dated September 30, 2025), Emma Rott Dec 2025

Re: Comment Letter For The Butte Priority Soils Operable Unit (Bpsou) Butte Treatment Lagoons (Btl) Groundwater Treatment System Quarterly Operation And Maintenance Report – Quarter 2 2025 (Dated September 30, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Re: Approval Letter For The Butte Priority Soils Operable Unit Clark Tailings Consolidated Waste Management Area 2019-2023 Data Summary Report And Response To Epa Comments (Dated September 24, 2025), Emma Rott Dec 2025

Re: Approval Letter For The Butte Priority Soils Operable Unit Clark Tailings Consolidated Waste Management Area 2019-2023 Data Summary Report And Response To Epa Comments (Dated September 24, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Draft Final 2022 Insufficiently Reclaimed Sites Sampling: Bres No. 16 Site Evaluation Summary Report, Pioneer Technical Services, Inc. Dec 2025

Draft Final 2022 Insufficiently Reclaimed Sites Sampling: Bres No. 16 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Draft Final 2022 Insufficiently Reclaimed Sites Sampling: Bres No. 96 – Washoe Dump Site Evaluation Summary Report, Pioneer Technical Services, Inc. Dec 2025

Draft Final 2022 Insufficiently Reclaimed Sites Sampling: Bres No. 96 – Washoe Dump Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Revised Draft Final 2022 Unreclaimed Sites Sampling: Ur-06 Site Evaluation Summary Report, Pioneer Technical Services, Inc. Dec 2025

Revised Draft Final 2022 Unreclaimed Sites Sampling: Ur-06 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Predictive Factors Of Academic Success During Transition To Undergraduate Studies In Stem Programs In Kansas, Elizabeth L. Butler Dec 2025

Predictive Factors Of Academic Success During Transition To Undergraduate Studies In Stem Programs In Kansas, Elizabeth L. Butler

Electronic Theses and Dissertations

In tThis dissertation the researcher exploreds the correlations between high school GPA, ACT Math, ACT cComposite scores, and first -semester GPA for first-time freshmen at a mid-sized university in the Midwest. This quantitative correlational study uses multiple regression analysis to discover correlations that may exist between these interval variables. Data for this study was collected through a request to the study site’s oOffice of pPlanning and aAnalysiss at the university and was all archival data at a record level for the students. Data had been collected through the admissions process and was stored in Banner and SLATE, both data management …

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Effects Of Commission Errors During Prompting On Skill Acquisition And Maintenance, Molly K. Mutchler Dec 2025

Effects Of Commission Errors During Prompting On Skill Acquisition And Maintenance, Molly K. Mutchler

Dissertations

Procedural fidelity refers to the extent to which procedures are implemented as intended. Engaging in procedural fidelity errors can lead to detrimental outcomes during skill acquisition and maintenance. The purpose of this study was to parametrically evaluate and compare two commission errors during prompting procedures using an arbitrary tacting task taught to college-aged students. Participants learned to tact four sets of arbitrary pictures and names. Prompting errors consisted of either providing the correct letters for a name in an incorrect order (i.e., an error within a component of the name) or providing the correct name for another picture (i.e., an …

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Evaluating Defi Vulnerabilities: The Role Of Bug Bounty Programs On Defi Software Supply Chain, Ping Fan Ke, Yi Meng Lau, Lingxiao Jiang Dec 2025

Evaluating Defi Vulnerabilities: The Role Of Bug Bounty Programs On Defi Software Supply Chain, Ping Fan Ke, Yi Meng Lau, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Decentralized finance (DeFi), powered by blockchain technology, enables peer-to-peer financial transactions without intermediaries. Despite rapid adoption, DeFi attracts malicious actors exploiting vulnerabilities. To mitigate risks, we propose a framework assessing entry points in the DeFi software supply chain: smart contracts, oracles/third-party feeds, user interfaces, off-chain storage, and crypto wallets. Applying this framework, we evaluate whether industry solutions—particularly bug bounty programs—adequately address these gaps. Our preliminary analysis indicates that most programs cover smart contract vulnerabilities (85.7%), followed by user interface issues (21.3%) and crypto wallet loopholes (11.9%). However, third-party risks, such as oracle feeds, are frequently deemed out of scope. This …

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A Socio-Technical Analysis Of Market Reactions On Meme Coins: Trump’S Presidential Effect, Ping Fan Ke, Yi Meng Lau Dec 2025

A Socio-Technical Analysis Of Market Reactions On Meme Coins: Trump’S Presidential Effect, Ping Fan Ke, Yi Meng Lau

Research Collection School Of Computing and Information Systems

Meme coins are a unique type of cryptocurrency whose value is shaped by internet culture and viral trends. This study introduces a socio-technical research model to examine key factors influencing meme coin dynamics and applies it to analyze market reactions to Donald Trump’s 2024 U.S. presidential election victory and inauguration, focusing on the $TRUMP meme coin and other politics-related meme coins, known as PolitiFi. Using a mixed-methods approach, we analyze publicly available news, social media activity, and marketplace data to investigate the interaction between social engagement and technical infrastructure. Econometric analysis shows that Trump-related events triggered short-term price surges, increased …

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Registration Is A Powerful Rotation-Invariance Learner For 3d Anomaly Detection, Yuyang Yu, Zhengwei Chen, Xuemiao Xu, Lei Zhang, Haoxin Yang, Yongwei Nie, Shengfeng He Dec 2025

Registration Is A Powerful Rotation-Invariance Learner For 3d Anomaly Detection, Yuyang Yu, Zhengwei Chen, Xuemiao Xu, Lei Zhang, Haoxin Yang, Yongwei Nie, Shengfeng He

Research Collection School Of Computing and Information Systems

3D anomaly detection in point-cloud data is critical for industrial quality control, aiming to identify structural defects with high reliability. However, current memory bank-based methods often suffer from inconsistent feature transformations and limited discriminative capacity, particularly in capturing local geometric details and achieving rotation invariance. These limitations become more pronounced when registration fails, leading to unreliable detection results. We argue that point-cloud registration plays an essential role not only in aligning geometric structures but also in guiding feature extraction toward rotation-invariant and locally discriminative representations. To this end, we propose a registration-induced, rotation-invariant feature extraction framework that integrates the objectives …

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Safe-Sora: Safe Text-To-Video Generation Via Graphical Watermarking, Zihan Su, Xuerui Qiu, Hongbin Xu, Tangyu Jiang, Jun-Hao Zhuang, Chun Yuan, Ming Li, Shengfeng He, Fei Yu Dec 2025

Safe-Sora: Safe Text-To-Video Generation Via Graphical Watermarking, Zihan Su, Xuerui Qiu, Hongbin Xu, Tangyu Jiang, Jun-Hao Zhuang, Chun Yuan, Ming Li, Shengfeng He, Fei Yu

Research Collection School Of Computing and Information Systems

The explosive growth of generative video models has amplified the demand for reliable copyright preservation of AI-generated content. Despite its popularity in image synthesis, invisible generative watermarking remains largely underexplored in video generation. To address this gap, we propose Safe-Sora, the first framework to embed graphical watermarks directly into the video generation process. Motivated by the observation that watermarking performance is closely tied to the visual similarity between the watermark and cover content, we introduce a hierarchical coarse-to-fine adaptive matching mechanism. Specifically, the watermark image is divided into patches, each assigned to the most visually similar video frame, and further …

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Stableguard: Towards Unified Copyright Protection And Tamper Localization In Latent Diffusion Models, Haoxin Yang, Bangzhen Liu, Xuemiao Xu, Cheng Xu, Yuyang Yu, Zikai Huang, Yi Wang, Shengfeng He Dec 2025

Stableguard: Towards Unified Copyright Protection And Tamper Localization In Latent Diffusion Models, Haoxin Yang, Bangzhen Liu, Xuemiao Xu, Cheng Xu, Yuyang Yu, Zikai Huang, Yi Wang, Shengfeng He

Research Collection School Of Computing and Information Systems

The advancement of diffusion models has enhanced the realism of AI-generated content but also raised concerns about misuse, necessitating robust copyright protection and tampering localization. Although recent methods have made progress toward unified solutions, their reliance on post hoc processing introduces considerable application inconvenience and compromises forensic reliability. We propose StableGuard, a novel framework that seamlessly integrates a binary watermark into the diffusion generation process, ensuring copyright protection and tampering localization in Latent Diffusion Models through an end-to-end design. We develop a Multiplexing Watermark VAE (MPW-VAE) by equipping a pretrained Variational Autoencoder (VAE) with a lightweight latent residual-based adapter, enabling …

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Jury-And-Judge Chain-Of-Thought For Uncovering Toxic Data In 3d Visual Grounding, Kaixiang Huang, Qifeng Zhang, Jin Wang, Jingru Yang, Yang Zhou, Huan Yu, Guodong Lu, Shengfeng He Dec 2025

Jury-And-Judge Chain-Of-Thought For Uncovering Toxic Data In 3d Visual Grounding, Kaixiang Huang, Qifeng Zhang, Jin Wang, Jingru Yang, Yang Zhou, Huan Yu, Guodong Lu, Shengfeng He

Research Collection School Of Computing and Information Systems

3D Visual Grounding (3DVG) faces persistent challenges due to coarse scene-level observations and logically inconsistent annotations, which introduce ambiguities that compromise data quality and hinder effective model supervision. To address these challenges, we introduce Refer-Judge, a novel framework that harnesses the reasoning capabilities of Multimodal Large Language Models (MLLMs) to identify and mitigate toxic data. At the core of Refer-Judge is a Jury-and-Judge Chain-of-Thought paradigm, inspired by the deliberative process of the judicial system. This framework targets the root causes of annotation noise: jurors collaboratively assess 3DVG samples from diverse perspectives, providing structured, multi-faceted evaluations. Judges then consolidate these insights …

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Misodice: Multi-Agent Imitation From Mixed-Quality Demonstrations, The Viet Bui, Tien Mai, Hong Thanh Nguyen Dec 2025

Misodice: Multi-Agent Imitation From Mixed-Quality Demonstrations, The Viet Bui, Tien Mai, Hong Thanh Nguyen

Research Collection School Of Computing and Information Systems

We study offline imitation learning (IL) in cooperative multi-agent settings, where demonstrations have unlabeled mixed quality - containing both expert and suboptimal trajectories. Our proposed solution is structured in two stages: trajectory labeling and multi-agent imitation learning, designed jointly to enable effective learning from heterogeneous, unlabeled data. In the first stage, we combine advances in large language models and preference-based reinforcement learning to construct a progressive labeling pipeline that distinguishes expert-quality trajectories. In the second stage, we introduce MisoDICE, a novel multi-agent IL algorithm that leverages these labels to learn robust policies while addressing the computational complexity of large joint …

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Cssa-Fusion: Channel Selective And Spatial Alignment Infrared-Visible Image Fusion, Zhen Li, Zhi Zeng, Zhongrui Xiao, Ming Wen, Zhiyuan Zhang, Yibin Tian Dec 2025

Cssa-Fusion: Channel Selective And Spatial Alignment Infrared-Visible Image Fusion, Zhen Li, Zhi Zeng, Zhongrui Xiao, Ming Wen, Zhiyuan Zhang, Yibin Tian

Research Collection School Of Computing and Information Systems

Infrared-visible image fusion aims to integrate complementary information from two modalities to generate images with enriched semantic content. However, existing methods often neglect two critical aspects: the design of a local–global feature enhancement architecture and spatial alignment. To address these challenges, we propose Channel Selective and Spatial Alignment Fusion (CSSA-Fusion), a novel framework composed of two synergistic modules. The first is a selective channel and redundancy suppression module, which introduces a dual-branch selective channel attention mechanism to jointly capture local saliency and global channel importance for enhanced feature representation, and an informativeness–redundancy separation strategy to suppress redundant information while preserving …

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The Rise Of Parameter Specialization For Knowledge Storage In Large Language Models, Yihuai Hong, Yiran Zhao, Wei Tang, Yang Deng, Yu Rong, Wenxuan Zhang Dec 2025

The Rise Of Parameter Specialization For Knowledge Storage In Large Language Models, Yihuai Hong, Yiran Zhao, Wei Tang, Yang Deng, Yu Rong, Wenxuan Zhang

Research Collection School Of Computing and Information Systems

Over time, a growing wave of large language models from various series has been introduced to the community. Researchers are striving to maximize the performance of language models with constrained parameter sizes. However, from a microscopic perspective, there has been limited research on how to better store knowledge in model parameters, particularly within MLPs, to enable more effective utilization of this knowledge by the model. In this work, we analyze twenty publicly available open-source large language models to investigate the relationship between their strong performance and the way knowledge is stored in their corresponding MLP parameters. Our findings reveal that …

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